Evidence map›Paper›PMID 31640950›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2019

[Effects of glycosylated hemoglobin and disease course on islet β-cell function in patients with type 2 diabetes].

H E Yinhui, X U Haiyan, F U Qi, Yang Tao

Abstract read
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 78% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Association Between Hemoglobin Glycation Index and Metabolic Syndrome in Middle-Aged and Older People.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

H E YinhuiDepartment of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
X U HaiyanDepartment of Endocrinology, Lishui Municipal Central Hospital, Lishui 323000, China.
F U QiDepartment of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Yang TaoDepartment of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Jiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare islet β-cell function in type 2 diabetic (T2DM) patients with different glycosylated hemoglobin (HbA1c) levels and diabetes durations.

methodsWe examined body parameters, biochemical profiles and islet autoantibodies in a total of 803 T2DM patients admitted in the Department of Endocrinology of the First Affiliated Hospital of Nanjing Medical University between December, 2014 and April, 2016. The patients were stratified by HbA1c level and disease course and underwent steamed bun test to evaluate islet β-cell function and insulin resistance.

resultsLinear correlation analysis showed that in T2DM patients, HbA1c level was negatively correlated with HOMA2-IR, HOMA2-%β, DI30 and DI180 (

conclusionsThe secretion function of islet β cells decreases progressively with the increase of HbA1c level or disease course in T2DM patients, but the disease course does not appear to have an effect as strong as that of HbA1c level on islet β cell function.

Indexed as

Blood GlucoseBody Mass IndexDiabetes Mellitus, Type 2Disease ProgressionGlycated HemoglobinHumansInsulin ResistanceIslets of LangerhansBlood GlucoseGlycated Hemoglobindisease courseglycosyated hemoglobinislettype 2 diabetes mellitusβ-cell function

Identifiers

PMID31640950
PMCPMC6881739
OpenAlexW2984272003

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.